CAV Systems Incorporating Air Pollution Information from Traffic Congestion

CAV Systems Incorporating Air Pollution Information from Traffic Congestion

Krishnakumar Nedunuri Headshot - link directs to their profile page
Krishnakumar Nedunuri
Ramani Kandiah Headshot - Link directs to their profile page
Ramanitharan Kandiah
Central State University Logo - link directs to the CSU research page

Principal Investigator(s):

Krishnakumar Nedunuri, Professor of Environmental Engineering – Central State University
Director – C.J. McLin International Center for Water Resources Management
Ramanitharan Kandiah, Professor of Environmental Engineering & Program Coordinator – Central State University

Project Abstract:
Through CCAT center, CSU proposes to study air pollutants under different traffic congestion scenarios along selected freeways in Ohio. The study captures pollution intensities in different seasons of the year representing different atmospheric stabilities and concentration of pollutants as a function of hold up times and traffic densities. Our prior work has determined typical hot spots in Ohio along freeways that are prone to high traffic densities and possible congestion. MOVES will be used to generate these scenarios to determine emissions from vehicles in a simulated traffic congestion scenario. ODOT traffic data will be used for these scenarios. Resulting air pollution from emissions will be determined using a dispersion model and compared with NAAQS. A model will be developed to assess severity of air pollution, which will be used to forecast air quality index for the congested areas on freeways. CAV technology will then be deployed to communicate the information to travelers on freeways on radio channels approaching congested areas.

Research Thrust(s): Enabling TechnologyHuman FactorsModeling & Implementation

Project Form(s):
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